Jonathan D. Wasserman

7.1k citations
70 papers · 3.0k · h-index 26

Impact in

Papers in

    • Thyroid Cancer Diagnosis and Treatment 15
    • Thyroid Disorders and Treatments 6
    • Adrenal and Paraganglionic Tumors 6
    • Thyroid and Parathyroid Surgery 5
    • Congenital Diaphragmatic Hernia Studies 4

Jonathan D. Wasserman

62 papers receiving 3.0k citations

Peers

Jonathan D. Wasserman
Comparison fields: 5 of 108
  • Aging 216
  • Endocrinology, Diabetes and Metabolism 549
  • Cellular and Molecular Neuroscience 453
  • Cancer Research 304
  • Molecular Biology 1.2k
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Roger G. Clerc Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan D. Wasserman

Since Specialization
Citations

This map shows the geographic impact of Jonathan D. Wasserman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan D. Wasserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Wasserman more than expected).

Fields of papers citing papers by Jonathan D. Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Wasserman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan D. Wasserman. The network helps show where Jonathan D. Wasserman may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan D. Wasserman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan D. Wasserman Line = papers co-authored together Jonathan D. Wasserman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003499
2 2016340
3 1998223
4 2017189
5 1998188
6 2000159
7 2015156
8 2017117
9 2017113
10 201896
11
Condensation of plasmid DNA with polylysine improves liposome-mediated gene transfer into established and primary muscle cells.
199690
12 201673
13 201763
14 201162
15 201151
16 202150
17 201747
18 199742
19 201635
20 202034

About Jonathan D. Wasserman

Jonathan D. Wasserman is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Oncology and Cancer Research, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (15 papers), Adrenal and Paraganglionic Tumors (6 papers), Thyroid Disorders and Treatments (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Thyroid and Parathyroid Surgery (5 papers), Neuroblastoma Research and Treatments (4 papers), Developmental Biology and Gene Regulation (4 papers) and Congenital Diaphragmatic Hernia Studies (4 papers). The work is most often cited by research in Aging (216 citations), Endocrinology, Diabetes and Metabolism (549 citations), Cellular and Molecular Neuroscience (453 citations), Cancer Research (304 citations) and Molecular Biology (1.2k citations). Jonathan D. Wasserman has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Matthew Freeman, David Malkin, María Domínguez, Hugo Stocker, Felix Rintelen, Michael E. Greenberg, Martin A. Jünger, Ernst Hafen, Thomas Radimerski and Harriet Druker. Their work appears in journals such as Clinical Cancer Research, Pediatric Blood & Cancer, Thyroid, The Journal of Clinical Endocrinology & Metabolism and The Laryngoscope.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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